Thesis (D. Min.)--Perkins School of Theology, Southern Methodist University, 1986. / Abstract. Includes bibliographical references (leaves 123-126).

Thesis (D. Min.)--Perkins School of Theology, Southern Methodist University, 1986. / Abstract. Includes bibliographical references (leaves 123-126).

Light Rail Transit (LRT) has been getting more attention in U.S. cities due to its socio-economic benefits, such as reducing pollution and congestion, as well as promoting regional economic development. However, huge capital costs remain an obstacle to the construction of a new light rail system. For this reason, cities in the planning phases of LRT want to use value capture tools to finance transit construction and operation. In theory, any improvement in a transportation structure that increases accessibility and reduces transportation cost can be capitalized into property values in an area. In turn, governments levy taxes on a portion of the additional value of adjacent properties. This study, however, aims to empirically examine whether value capture is possible in the recession when property and land values continue to decrease. The study uses the case of the DART Green Line, which started to run in 2009 just after a financial crisis in the U.S. The 5745 residential parcels are analyzed with using a hedonic price model in order to detect the Green Line’s influence on residential values before and after the recession. To enhance the proficiency of the regression, this study includes several structure and neighborhood characteristics. The statistical results found the Green Line’s benefits on residential values both in the pre-Green Line period (before the recession) and the post-Green Line period (during the recession). It is noteworthy there are still positive influences of transit accessibility on residential values even in the unstable housing market, although the magnitude of the variable has diminished compared to the pre-Green Line period. / text

The purpose of the study was to determine customer perceptions of fairness concerning pricing policies charged by the hotel industry, and to examine how different outcomes in pricing policies affect customer perceptions of fairness. Convenience-Interception survey sampling was used to collect 460 sample data at the Dallas Love Field Airport. After analyzing data, one can infer that when revenue management information was provided, customers are satisfied. Further, age, education, Airline FFP enrolled and redeem miles, and pricing based on marketing channels plays an imperative role in this study.